
Artificial Intelligence Experts in Switzerland
from over 15,000 CVs with the power of AIWork with specialists who build production machine learning pipelines, fine-tune foundation models, and deploy reliable computer vision systems, matched rapidly with vetted, available freelancers.
Meet FRATCH Experts in Switzerland, who have recently used Artificial Intelligence
Damir M.
Last position:
Head of Research & Chairman of the Research Advisory Board at SBS Swiss Business School
Swiss University of Applied Sciences institute (HEdA/AAQ accredited); ranked #5 globally for Executive MBA (CEO Magazine 2025)
- Led the research function and chaired the Research Advisory Board.
- Editor of the Journal of Applied Business Research.
- Member of the Thesis and Dissertation Committee.
- Contributed to the AAQ and ACBSP accreditation processes.
Stefan K.
Last position:
Projectmanager at IMG
Consultant for Digitalisation, Process Optimisation and System Integration, working in direct coordination with the Managing Director.
Responsible for the operational steering of a digital transformation initiative focused on process analysis, system integration, automation and structured service processes. Translation of business requirements into practical solutions based on SmartBrix/Odoo and connected communication and third-party systems.
Key areas:
- Structuring and optimisation of property management and customer service processes
- Product Ownership and Business Analysis
- System integration across SmartBrix/Odoo, Microsoft 365, VoIP and WhatsApp Business
- Coordination of external software and technology providers
- Development of testing, approval and quality assurance processes
- Use of AI for process and knowledge support
- Documentation, governance and risk management
- Transparent reporting of project progress, risks and decision requirements to management
Matthias S.
Last position:
Lecturer in Software Management at Graubünden University of Applied Sciences
- Design and delivery of the university module “Software Management” in the Bachelor’s degree program in Artificial Intelligence in Software Engineering
- Teaching software project management, project organization, stakeholder management, risk and quality management, and agile and hybrid project management
- Coverage of release planning, cut-over, go-live, handover to operations, and the operational impact of technical decisions
- Combining methodological foundations with experience from software development, customer projects, delivery, release management, testing, and IT operations
- Use of AI in software and project management
Methods and tools: Software project management, HERMES, PRINCE2, Scrum, Kanban, hybrid approaches, requirements engineering, risk and quality management, release management, test management, Moodle
Vincent V.
Last position:
IT Business Partner & Enterprise Architect at Sulzer
- Established the Enterprise Architecture function from the ground up for Sulzer Group (~13,500 employees, CHF 3.6B revenue)
- Defined the Technical Governance framework, Target Operating Model, and IT PMO foundation now governing architecture decisions and portfolio demand across all divisions.
- Deployed SAP LeanIX as the authoritative application portfolio system of record - catalogued 500 applications group-wide (140 for Chemtech), onboarded business and IT stakeholders, and initiated integration with ServiceNow to embed architecture data into operational workflows.
- Led the divisional & group wide Application Rationalization initiative
- Decommissioned 15% of the 140 applications Chemtech portfolio, delivering CHF 627k in run-rate savings over two years and materially reducing licensing and support exposure.
- Defined and executed the divisional AI Roadmap in partnership with Sales, Legal, and R&D leadership
- Delivered 4 AI solutions into production (including Sales process harmonization and LLM-based IP conflict detection) from a portfolio of 7 prioritized initiatives.
- Built and owned the 3-year IT Strategic Roadmap for Chemtech
- Aligned cloud and technology architecture with divisional business priorities and a CHF 1.5M annual investment envelope.
- Delivered CHF 500k in cost avoidance by challenging and discontinuing funded but low-value initiatives, demonstrated governance discipline and executive influence, with zero implementation spend.
Bettina D.
Last position:
External Marketing Manager for SMEs (Owner) at Bettina Dudek Marketing
External marketing management for SMEs in Switzerland. I bring strategy and execution together so that marketing doesn't end up in a drawer.
Three areas across the customer journey:
- Marketing strategy
- Visibility and customer acquisition
- Customer retention and growth
Focus on the B2B and tech sectors. I've always worked in IT, just from a different perspective each time: as a project manager at an elevator manufacturer, as a Product Owner in the automotive industry, and as a marketer in the data center market. More than ten years, three industries, one constant: translating complex technology so it resonates with the audience.
Think in a structured way. Get things done pragmatically.
Paulo M.
Last position:
Power BI / Fabric & SAP BI Consultant at Financial Bank
- Developed Power BI semantic models, DAX and RLS, improving reporting performance and security.
- Designed Fabric Lakehouse with Medallion Architecture (Bronze/Silver/Gold), accelerating data processing and improving maintainability and scalability.
- Built Fabric Data Factory pipelines and PySpark transformations, reducing processing time by 40%.
- Delivered automated Power BI KPI dashboards, accelerating reporting and decision-making.
- Supported SAP BO 4.3 → 2025 migration across 2,000+ Webl reports and 34 universes, reducing testing effort by 35% and improving migration quality and reliability.
- Optimized UNX universes, reducing query execution time by 40%.
- Optimized SAP BO reporting solutions, improving reliability and reducing manual effort.
Environment: Power BI, Microsoft Fabric (Lakehouse, Warehouse, Pipelines, PySpark), Tabular Editor, DAX Studio, SAP BI (BO 4.3/2025, Webl, UNX Universes), 360Suite, InfoBurst, GitHub, JIRA.
Nik G.
Last position:
Executive Interim & Transformation Partner at Audoban & Co. GmbH
- Stepped into a senior interim mandate with hands-on accountability for a complex business model transformation, taking ownership of execution, operating decisions, and delivery within a highly regulated and complex regional environment.
- Led market access, launch, and go-to-market transformation work, aligning commercial, operational, and governance structures to support entry into new markets under time and regulatory pressure.
- Supported post-merger integration as well as divestiture shaping assignments, working hands-on with executive teams to align operating realities, decision rights, and accountability with transaction intent.
- Took interim ownership of critical transformation and integration programs, resetting priorities, sequencing, and leadership expectations where delivery risk or organizational friction had emerged.
- Acted as a trusted interim partner to CEOs and senior leaders during periods of structural change, providing clear judgement, hands-on leadership, and execution discipline.
Caroline Z.
Last position:
Support & Consulting in the Digital Transformation Environment at Schweizerische Mobiliar
via AgonPro AG
- Review and optimization of training materials, guides and documentation in the SAFe environment
- Structured and user-oriented preparation of complex content
- Critical analysis of existing solutions and development of specific improvement proposals
- Contributing to AI topics in the context of training and the introduction of artificial intelligence
Mike B.
Last position:
Freelance UX-Researcher, Designer at Bodensee Schiffsbetriebe; Labhard-Medien
- UX research, UX concept development, and UX design for an AI dialogue system with information on events, locations, public transport timetables, and special trips. Observations, remote user tests, session recordings, analytics evaluations, RapidUserTests, prototyping, etc., using Figma/Figma Make, Claude Design, and OpenAI Codex (Design)
Christophe L.
Last position:
Independent ML/AI Consultant
AI platforms
- Contributing to the training of all top 5 US large language models through multilingual ML projects, spanning RLHF, evaluations, rubrics, conversations and safety initiatives
- Working across a diverse range of training methodologies, supporting model alignment and quality improvement in multiple languages
Francesca L.
Last position:
EMEA CDP Community Lead at Merkle Switzerland AG
Founded and scaled Merkle's CDP community, and built the foundation of a Centre of Excellence
- Cultivated strong connections with C-levels of the company, securing their support and ensuring the community's efforts align with organizational goals (and vice versa when needed)
- Nurtured vendor relationships ensuring top support to the teams and recognition for opportunities
- Drove community growth (+100 members), cross-country collaboration, enablement, best practices, and knowledge sharing across 7+ countries, positioning Merkle as leader in CDP implementations.
Marc P.
Last position:
Digital Strategy Consultant at EVO Creations
Retail AI Transformation:
- -------------------------- Led the transition of bespoke AI conversational models into a scalable, luxury-tier chatbot platform for Florentia Village (China), reducing operational costs to 20% while providing a multi-tenant solution for retail stakeholders, increasing revenue through AI-driven sales recommendations.
Consumer Tech Innovation:
- ----------------------------- Developed an AI real-time automation engine for Philips live-streaming, enabling automated Q&A and sentiment analysis to enhance high-pressure sales performance
Pharma Digital Strategy:
- -------------------------- Engagement lead, consultant and orchestration of Omnichannel transformation for Grünenthal across 14 countries, leading SteerCo meetings, managing financials + RAIDs + QRBs across 192 projects, liaising between C-Level (EU/US), Global Omnichannel head, Global Customer Excellence, Global Marketing Heads and Outsourcing hub (India), driving revenue to 160%.
Governance & RAID:
- ---------------------- Implemented rigorous project governance, plans, and RAID logs for high-pressure digital transformations, ensuring SteerCo visibility and cross-functional alignment across various engagements.
Product Manager (Conversational Analytics Platform):
- ---------------------------------------------------------- Led the end-to-end development of a state-of-the-art NLP-based analytics platform. Defined the product roadmap and user stories, and managed the engineering team from MVP to launch.
US-to-EU market entry:
- ------------------------- Directed the digital infrastructure for a major US-to-EU market entry, aligning global dev teams with European regulatory standards.
Patrick B.
Last position:
Senior Software Engineer at On AG
- Since August 2025 I'm working on the Conversational AI team. We are developing an internal platform for the future of Conversational Ecommerce, powering other teams to use the Agents in their user experience. I'm deeply focused on the architecture of this project, with a particular focus on the monitoring and live evaluation of the agents.
- Played a pivotal role in business-critical operations, including Adyen client upgrades, multi-account configuration for app releases, domain migration support, and implementing a crucial BFCM hotfix to resolve a 10-minute update query (on the checkout workflow) that was blocking sales.
- Served as a key member of the On-Call rotation for over a year, leading >15 incidents, contributing to system stability, and enhancing distributed tracing via New Relic integration, deepening system-wide understanding and operational excellence.
- Conceived and delivered an MVP for a "Low Stock in Key Variants" (LSKV) index within two weeks as part of the Conversion Rate Taskforce, using statistical analysis of size curves to identify OOS products; this initiative led to a (0.9%) CVR improvement post-handover.
- Led major performance and stability initiatives, including a Ruby upgrade (YJIT, Jmalloc) that slashed average response times from 220ms to <100ms, and initiated an "Order Table Cleanup" project to manage 10M+ order records, ensuring SOX compliance and database health.
- Architected and delivered a scalable CloudFlare Worker solution for critical Apple Pay domain validation, mitigating operational risks and establishing a best-practice, automated workflow that was subsequently leveraged by multiple teams, demonstrating cross-functional impact
- Drove substantial evolution of the core e-commerce backend through consistent, high-impact contributions (130+ merged PRs), spanning critical feature delivery, complex system optimizations, and enhancing platform stability."
Witali H.
Last position:
Founder & CEO at aiFEX
- Built an AI operating model in which specialized agents work with clear roles, precise briefings, review standards and governance boundaries; decision-making responsibility remains with humans.
- AI Transformation Lab as a real-world validation environment for agentic workflows, local/cloud AI models, automation and human-in-the-loop governance (details above).
- Applied transformation principles to AI: ownership, risk control, stakeholder alignment, quality review, traceability, delivery discipline; DEV/TEST/PROD mindset.
Banashankari N.
Last position:
Senior IT Project Manager, Data and Integration Platform at MCH Group, Group IT
Led implementation of an Azure cloud-based, event-driven enterprise integration platform connecting Salesforce, Momentus(event) and ERP applications. Reduced overall costs by 60%, lowered operational errors to under 1%, and delivered on time.
- Led the full project lifecycle from initiation to delivery using agile and hybrid methods - platform vision, feasibility, technical blueprint, architecture, implementation, integration, testing, rollout and business adoption.
- Built the engineering team from the ground up, leading teams across Switzerland, Bulgaria and India using Scrum and Kanban; established Jira, Confluence, Asana and SharePoint for delivery and reporting.
- Established and managed frequent steering meetings, reporting that gave stakeholders transparency and drove key decision-making.
Discover over 15,000 top freelancers
Statistics of experts using Artificial Intelligence
Aggregated from the professional profiles of matched freelancers.
Experience
22 years

Position duration
2.9 years

Positions per freelancer
11

Top business areas
Information Technology, Project Management, Product Development

Top industries
Information Technology, Professional Services, Banking and Finance

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
97%
Master's degree or higher
76%
Doctorate
15%

Certifications per freelancer
3

Most common languages
English, German, French

Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Switzerland are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Switzerland using Artificial Intelligence
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Artificial Intelligence experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (79%)
- Professional Services (61%)
- Banking and Finance (56%)
- Manufacturing (47%)
- Education (32%)
- Healthcare (32%)
- Energy (27%)
- Government and Administration (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Applied Machine Learning and Modern Architectures
Artificial Intelligence spans statistical modeling, neural networks, and generative architectures. Modern teams rely on it to automate high-volume processes, extract insights from multimodal datasets, and build autonomous agents. Reliable implementations balance mathematical rigor with resilient software practices.
The AI Tooling and Infrastructure Stack
Production deployments combine deep learning frameworks with scalable data tooling. Specialists orchestrate resources across cloud clusters and local hardware to manage compute-heavy workloads.
- Deep learning frameworks like PyTorch, TensorFlow, and JAX
- Foundation model orchestration using Hugging Face, LangChain, and LlamaIndex
- Distributed training with Ray, DeepSpeed, and vLLM
- Model tracking and registry via MLflow, Weights & Biases, and Kubeflow
- Vector databases including Qdrant, Milvus, and Pinecone
Core Project Deliverables
Organizations contract outside talent to move prototypes into high-throughput production environments. Typical deliverables include fine-tuned transformer networks, Retrieval-Augmented Generation systems, edge vision pipelines, and automated feature stores that support real-time inference without high latency.
Strategic Adoption Across Swiss Industries
Swiss organizations frequently deploy AI across private banking, life sciences, luxury manufacturing, and precision engineering. These sectors demand strict data privacy, local residency standards, and low operational risk. Projects often require on-premise deployments or dedicated sovereign cloud tenancies.
When Organizations Require Freelance Specialists
Internal teams often encounter roadblocks when scaling experimental notebooks into hardened production services. External specialists bridge the gap by establishing robust MLOps practices, optimizing inference costs, conducting bias audits, and training domain-specific models under tight timelines.
Qualities of Leading AI Practitioners
Exceptional professionals separate academic theory from practical production reality. They prioritize data cleanliness over model complexity, optimize memory footprints through quantization, and implement rigorous evaluation suites to detect model drift before it impacts users.
Frequently asked questions
Everything clients usually want to know about Artificial Intelligence, in one place.
Specialists design and implement predictive algorithms, computer vision pipelines, natural language processing services, and deep learning architectures. An Artificial Intelligence specialist builds reproducible data pipelines, fine-tunes custom foundation models, and deploys scalable inference endpoints.
Traditional software executes deterministic rules written directly in code. Modern AI systems learn patterns directly from structured and unstructured data, allowing applications to generalize across edge cases and process complex inputs like images, natural speech, and unstructured text.
Practitioners primarily write modular code in Python and C++, relying on libraries such as PyTorch, Hugging Face transformers, and scikit-learn. For production serving, they manage containerized deployments using Triton Inference Server, Docker, and Kubernetes.
Yes, most development workflows happen seamlessly in remote environments using cloud infrastructure. For sensitive initiatives in Swiss financial services or medical technology, organizations often require machine learning specialists to work within Swiss data borders or attend key architectural reviews on-site.
Enterprise systems require senior professionals who understand distributed systems, memory management, and model evaluation. Junior talent can label datasets or build prototypes, but deploying artificial intelligence into core operational systems requires proven architectural background.
Quality is evaluated by measuring inference latency, code test coverage, pipeline reproducibility, and offline benchmark accuracy against holdout datasets. Reliable AI code must also feature deterministic data versioning and comprehensive regression tests.
Specialists implement data anonymization, differential privacy, and localized storage to comply with the Swiss Federal Act on Data Protection. When deploying artificial intelligence systems, they prioritize on-premise infrastructure or Swiss-based data centers to keep proprietary assets secure.
English serves as the primary technical working language for source code, architecture documentation, and model research. However, alignment with local cross-functional teams in Zurich, Geneva, or Basel often benefits from working proficiency in German or French alongside an understanding of AI concepts.
The average hourly rate of freelancers in Switzerland who have used Artificial Intelligence in their recent projects is 131 €, which corresponds to a daily rate of about 1,046 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Artificial Intelligence in their recent projects, 97% hold at least a Bachelor's degree, 76% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Switzerland who have used Artificial Intelligence in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.9 years.
The most common languages among freelancers in Switzerland who have used Artificial Intelligence in their recent projects are English (100%), German (88%), and French (47%).
The most common industries among freelancers in Switzerland who have used Artificial Intelligence in their recent projects are Information Technology (79%), Professional Services (61%), and Banking and Finance (56%).
The most common business areas among freelancers in Switzerland who have used Artificial Intelligence in their recent projects are Information Technology (86%), Project Management (74%), and Product Development (66%).
Main locations of FRATCH Experts, who have recently used Artificial Intelligence
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
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